Ravi Seshadri

1.6k total citations
64 papers, 1.1k citations indexed

About

Ravi Seshadri is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Ravi Seshadri has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Transportation, 25 papers in Automotive Engineering and 24 papers in Building and Construction. Recurrent topics in Ravi Seshadri's work include Transportation Planning and Optimization (39 papers), Transportation and Mobility Innovations (25 papers) and Traffic control and management (18 papers). Ravi Seshadri is often cited by papers focused on Transportation Planning and Optimization (39 papers), Transportation and Mobility Innovations (25 papers) and Traffic control and management (18 papers). Ravi Seshadri collaborates with scholars based in United States, Denmark and Singapore. Ravi Seshadri's co-authors include Moshe Ben‐Akiva, Harsh Kupwade Patil, Karthik K. Srinivasan, Carlos Lima Azevedo, Simon Oh, A. Arun Prakash, Nishant Kumar, Arun Prakash Akkinepally, Andrea Araldo and Jianping Wu and has published in prestigious journals such as IEEE Access, Journal of Alloys and Compounds and Transportation Research Part C Emerging Technologies.

In The Last Decade

Ravi Seshadri

59 papers receiving 1.0k citations

Peers

Ravi Seshadri
Xianbiao Hu United States
Rahul Nair Ireland
Mike Hewitt United States
Sin C. Ho Hong Kong
Jeffrey L. Adler United States
Xianbiao Hu United States
Ravi Seshadri
Citations per year, relative to Ravi Seshadri Ravi Seshadri (= 1×) peers Xianbiao Hu

Countries citing papers authored by Ravi Seshadri

Since Specialization
Citations

This map shows the geographic impact of Ravi Seshadri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ravi Seshadri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Seshadri more than expected).

Fields of papers citing papers by Ravi Seshadri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi Seshadri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ravi Seshadri. The network helps show where Ravi Seshadri may publish in the future.

Co-authorship network of co-authors of Ravi Seshadri

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Seshadri. A scholar is included among the top collaborators of Ravi Seshadri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ravi Seshadri. Ravi Seshadri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shamshiripour, Ali, Ravi Seshadri, Md Sami Hasnine, et al.. (2024). Potential short- to long-term impacts of on-demand urban air mobility on transportation demand in North America. Transportation Research Part A Policy and Practice. 190. 104288–104288. 1 indexed citations
2.
Wang, David Z.W., et al.. (2024). Tradable credit schemes with peer-to-peer trading mechanisms. Transportation Research Part C Emerging Technologies. 160. 104532–104532. 4 indexed citations
3.
Alonso, Borja, María Alonso Raposo, Rubén Cordera, et al.. (2024). Estimation of Environmental Rebound Effect Induced by Shared Automated Passenger Transport Service in a Mid-Size European City via Microsimulation. Transportation Research Record Journal of the Transportation Research Board. 2678(8). 966–978. 4 indexed citations
4.
Seshadri, Ravi, et al.. (2024). Evaluating congestion pricing schemes using agent-based passenger and freight microsimulation. Transportation Research Part A Policy and Practice. 186. 104118–104118. 3 indexed citations
5.
Chen, Siyu, Ravi Seshadri, Carlos Lima Azevedo, et al.. (2023). Market design for tradable mobility credits. Transportation Research Part C Emerging Technologies. 151. 104121–104121. 8 indexed citations
6.
Jiang, Yu, et al.. (2023). Contextual Bayesian optimization of congestion pricing with day-to-day dynamics. Transportation Research Part A Policy and Practice. 179. 103927–103927. 5 indexed citations
7.
Araldo, Andrea, et al.. (2023). Adaptive transit design: Optimizing fixed and demand responsive multi-modal transportation via continuous approximation. Transportation Research Part A Policy and Practice. 171. 103643–103643. 22 indexed citations
8.
Seshadri, Ravi, et al.. (2023). Predictive distance-based road pricing — Designing tolling zones through unsupervised learning. Transportation Research Part A Policy and Practice. 170. 103611–103611. 9 indexed citations
9.
Chen, Siyu, et al.. (2022). Managing network congestion with a trip- and area-based tradable credit scheme. Transportmetrica B Transport Dynamics. 11(1). 434–462. 12 indexed citations
10.
Alho, André Romano, Takanori Sakai, Simon Oh, et al.. (2021). A Simulation-Based Evaluation of a Cargo-Hitching Service for E-Commerce Using Mobility-on-Demand Vehicles. DSpace@MIT (Massachusetts Institute of Technology). 20 indexed citations
11.
Seshadri, Ravi, et al.. (2021). Improving the accuracy and efficiency of online calibration for simulation-based Dynamic Traffic Assignment. Transportation Research Part C Emerging Technologies. 128. 103195–103195. 15 indexed citations
12.
Oh, Simon, et al.. (2021). Impacts of Automated Mobility-on-Demand on traffic dynamics, energy and emissions: A case study of Singapore. Simulation Modelling Practice and Theory. 110. 102327–102327. 23 indexed citations
13.
Seshadri, Ravi, et al.. (2020). Hierarchical density-based clustering methods for tolling zone definition and their impact on distance-based toll optimization. Transportation Research Part C Emerging Technologies. 118. 102685–102685. 22 indexed citations
14.
Seshadri, Ravi, et al.. (2019). Understanding Preferences for Automated Mobility on Demand Using a Smartphone-Based Stated Preference Survey: A Case Study of Singapore. Transportation Research Board 98th Annual MeetingTransportation Research Board. 6 indexed citations
15.
Nahmias–Biran, Bat-hen, Jimi Oke, Nishant Kumar, et al.. (2019). From Traditional to Automated Mobility on Demand: A Comprehensive Framework for Modeling On-Demand Services in SimMobility. Transportation Research Record Journal of the Transportation Research Board. 2673(12). 15–29. 21 indexed citations
16.
Azevedo, Carlos Lima, Ravi Seshadri, Bilge Atasoy, et al.. (2018). Tripod: Sustainable Travel Incentives with Prediction, Optimization, and Personalization. Transportation Research Board 97th Annual MeetingTransportation Research Board. 18 indexed citations
17.
Seshadri, Ravi, et al.. (2018). Towards Dynamic Bayesian Networks: State Augmentation for Online Calibration of DTA Systems. 1745–1750. 3 indexed citations
18.
Gupta, Samarth, Ravi Seshadri, Bilge Atasoy, et al.. (2016). Real Time Optimization of Network Control Strategies in DynaMIT2.0. Transportation Research Board 95th Annual MeetingTransportation Research Board. 4 indexed citations
19.
Srinivasan, Karthik K., A. Arun Prakash, & Ravi Seshadri. (2013). Finding most reliable paths on networks with correlated and shifted log–normal travel times. Transportation Research Part B Methodological. 66. 110–128. 100 indexed citations
20.
Knollinger, Amy M., et al.. (2012). Magnetic resonance imaging susceptibility artifact due to pigmented intraorbital silicone prosthesis. Veterinary Ophthalmology. 15(6). 386–390.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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